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rodrigopr/classify.py

Last active August 29, 2015 13:57
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classify.py
history = [] # previous labels
for i, word in enumerate(sentence):
featureset = get_features(word, history, sentence, i)
label = predict(featureset)
history.append(label)
... remain processing
Raw
train.py
dataset = []
history = [] # previous labels
for word, label in training:
featureset = get_features(word, history, sentence, i)
dataset.append((featureset, label))
history.append(label)
... remain processing
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